New AI Satellite Technology Offers Real-time Disaster Monitoring

For some time, experts have been warning us that worsening climate change is making hurricanes stronger and more likely to cause tremendous damage and loss of life. An analysis of observational data shows that hurricanes have grown stronger globally over the last four decades.

Based on a New York Times report, an analysis of satellite images dating back to 1979 demonstrates that global warming has increased the probability of a hurricane developing into a Category 3 or higher, with sustained winds stronger than 110 miles per hour, by about 8% per decade.

Scientists have been at the forefront of efforts to expand and advance the development of weather satellite sensors in order to better analyze future weather disturbances. This is to aid in the improved mobilization of government disaster response efforts in order to avoid major casualties.

Satellite Sensors and Artificial Intelligence

Last week, Hurricane Ian was moving at about 9 mph (15 kph) toward the north-northeast and went northeast on Thursday, Oct. 6. Because of the storm, NASA has postponed the launch of the Artemis 1 mission to the moon using the first Space Launch System rocket.

Much of South Florida was severely damaged by Hurricane Ian, which left an incredibly wide path of destruction. This is obvious in both satellite data and reports from the ground. Spatial and environmental analysts quickly provided a rare big-picture view of destruction across the entire state using a novel technique.

CONUS disturbance watcher is a disaster monitoring system that can chart damage with a 30-meter resolution and consistently update its data by combining images from four satellite sensors with pre-storm satellite photos.

As it seems, the satellite sensor system may undergo further improvements in the years to come and develop into a more effective method of mapping disaster ground damage. It offers a preview of the possibilities of quicker, more focused satellite disaster monitoring. According to experts, it has the potential to be implemented nationally in the future.

According to Interesting Engineering, satellite technology similar to this has already been developed in the past to identify high-risk areas for floods, wildfires, landslides, and other disasters, as well as to pinpoint the damage following these disasters. However, unlike traditional satellite sensors, AI technology no longer necessitates sensors assessing the most recent images of one area at a time.

Real-time Monitoring Satellites

Following a study on remote sensing and the disaster management cycle, integrating real-time remote sensing into prevention and readiness activities can also inform the public about this kind of data so that they are comfortable using it in response to naturally difficult events.

The program's researchers inform the public that the system provides a quick way to see important satellite photos by using free government-produced images. Experts are currently working on developing near real-time monitoring of the entire hurricane-prone United States in order to deliver the most up-to-date land data in the event of the next national calamity.

For more information about the program, read the experts' paper here.

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Written by John Lopez